Module sparse_fft_gpu_memory 

Memory management for GPU-accelerated sparse FFT

This module provides memory management utilities for GPU-accelerated sparse FFT implementations, including buffer allocation, reuse, and transfer optimization.

Structs

BufferDescriptor

Memory buffer descriptor

GPUMemoryManager

GPU Memory manager for sparse FFT operations

SyclDevice

Placeholder SYCL device type

Enums

AllocationStrategy

Buffer allocation strategy

BufferLocation

Memory buffer location

BufferType

Memory buffer type

Functions

get_global_memory_manager

Get global memory manager

init_cuda_device

Initialize CUDA device (call once at startup)

init_global_memory_manager

Initialize global memory manager

init_gpu_backend

Initialize the best available GPU backend

init_hip_device

Initialize HIP device (call once at startup)

init_sycl_device

Initialize SYCL device (call once at startup)

is_cuda_available

Check if CUDA is available

is_gpu_available

Check if any GPU backend is available

is_hip_available

Check if HIP is available

is_sycl_available

Check if SYCL is available

memory_efficient_gpu_sparse_fft

Memory-efficient GPU sparse FFT computation

Type Aliases

SyclDevicePtr

Placeholder SYCL device pointer type